Papers by Jianqing Zhu

2 papers
Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion (2025.acl-long)

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Challenge: In the evolving landscape of large language models, the predominant focus has been on English and Chinese.
Approach: They propose to utilize Arabic-specific vocabulary in the tokenizer to accelerate decoding.
Outcome: The proposed model achieves decent performance comparable to the best Arabic LLMs across various Arabic benchmarks.
AceGPT, Localizing Large Language Models in Arabic (2024.naacl-long)

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Challenge: Significant concerns emerge when addressing cultural sensitivity and local values.
Approach: They propose a localized Large Language Model (LLM) specifically for Arabic, a language imbued with unique cultural characteristics inadequately addressed by current mainstream models.
Outcome: The proposed model sets the state-of-the-art standard for open Arabic LLMs across various benchmarks.

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